Average Weather in June in Buenos Aires Mexico
Daily high temperatures increase by 5°F, from 70°F to 75°F, rarely falling below 65°F or exceeding 82°F.
Daily low temperatures increase by 3°F, from 56°F to 59°F, rarely falling below 52°F or exceeding 63°F.
For reference, on August 25, the hottest day of the year, temperatures in Buenos Aires typically range from 63°F to 79°F, while on December 25, the coldest day of the year, they range from 46°F to 65°F.
Average High and Low Temperature in June
The figure below shows you a compact characterization of the hourly average temperatures for the quarter of the year centered on June. The horizontal axis is the day, the vertical axis is the hour of the day, and the color is the average temperature for that hour and day.
Average Hourly Temperature in June
The month of June in Buenos Aires experiences decreasing cloud cover, with the percentage of time that the sky is overcast or mostly cloudy decreasing from 22% to 12%. The lowest chance of overcast or mostly cloudy conditions is 12% on June 28.
The clearest day of the month is June 28, with clear, mostly clear, or partly cloudy conditions 88% of the time.
For reference, on February 22, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 44%, while on September 10, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 90%.
Cloud Cover Categories in June
To show variation within the month and not just the monthly total, we show the rainfall accumulated over a sliding 31-day period centered around each day.
The average sliding 31-day rainfall during June in Buenos Aires is essentially constant, remaining about 0.0 inches throughout, and rarely exceeding 0.2 inches.
The lowest average 31-day accumulation is 0.0 inches on June 20.
Average Monthly Rainfall in June
Over the course of June in Buenos Aires, the length of the day is essentially constant. The shortest day of the month is June 1, with 14 hours, 9 minutes of daylight and the longest day is June 20, with 14 hours, 17 minutes of daylight.
Hours of Daylight and Twilight in June
The earliest sunrise of the month in Buenos Aires is 5:40 AM on June 12 and the latest sunrise is 4 minutes later at 5:43 AM on June 30.
The earliest sunset is 7:50 PM on June 1 and the latest sunset is 9 minutes later at 7:58 PM on June 29.
Daylight saving time is observed in Buenos Aires during 2018, but it neither starts nor ends during June, so the entire month is in daylight saving time.
For reference, on June 21, the longest day of the year, the Sun rises at 5:41 AM and sets 14 hours, 17 minutes later, at 7:58 PM, while on December 21, the shortest day of the year, it rises at 6:45 AM and sets 10 hours, 1 minute later, at 4:46 PM.
Sunrise & Sunset with Twilight in June
We base the humidity comfort level on the dew point, as it determines whether perspiration will evaporate from the skin, thereby cooling the body. Lower dew points feel drier and higher dew points feel more humid. Unlike temperature, which typically varies significantly between night and day, dew point tends to change more slowly, so while the temperature may drop at night, a muggy day is typically followed by a muggy night.
The chance that a given day will be muggy in Buenos Aires is gradually increasing during June, rising from 0% to 4% over the course of the month.
For reference, on August 22, the muggiest day of the year, there are muggy conditions 16% of the time, while on January 1, the least muggy day of the year, there are muggy conditions 0% of the time.
Humidity Comfort Levels in June
This section discusses the wide-area hourly average wind vector (speed and direction) at 10 meters above the ground. The wind experienced at any given location is highly dependent on local topography and other factors, and instantaneous wind speed and direction vary more widely than hourly averages.
The average hourly wind speed in Buenos Aires is gradually decreasing during June, decreasing from 6.9 miles per hour to 6.1 miles per hour over the course of the month.
For reference, on December 30, the windiest day of the year, the daily average wind speed is 8.3 miles per hour, while on September 8, the calmest day of the year, the daily average wind speed is 5.8 miles per hour.
Average Wind Speed in June
Wind Direction in June
Buenos Aires is located near a large body of water (e.g., ocean, sea, or large lake). This section reports on the wide-area average surface temperature of that water.
The average surface water temperature in Buenos Aires is gradually increasing during June, rising by 3°F, from 63°F to 66°F, over the course of the month.
Average Water Temperature in June
Definitions of the growing season vary throughout the world, but for the purposes of this report, we define it as the longest continuous period of non-freezing temperatures (≥ 32°F) in the year (the calendar year in the Northern Hemisphere, or from July 1 until June 30 in the Southern Hemisphere).
Temperatures in Buenos Aires are sufficiently warm year round that it is not entirely meaningful to discuss the growing season in these terms. We nevertheless include the chart below as an illustration of the distribution of temperatures experienced throughout the year.
Time Spent in Various Temperature Bands and the Growing Season in June
Growing degree days are a measure of yearly heat accumulation used to predict plant and animal development, and defined as the integral of warmth above a base temperature, discarding any excess above a maximum temperature. In this report, we use a base of 50°F and a cap of 86°F.
The average accumulated growing degree days in Buenos Aires are increasing during June, increasing by 406°F, from 1,193°F to 1,599°F, over the course of the month.
Growing Degree Days in June
This section discusses the total daily incident shortwave solar energy reaching the surface of the ground over a wide area, taking full account of seasonal variations in the length of the day, the elevation of the Sun above the horizon, and absorption by clouds and other atmospheric constituents. Shortwave radiation includes visible light and ultraviolet radiation.
The average daily incident shortwave solar energy in Buenos Aires is essentially constant during June, remaining within 0.1 kWh of 8.3 kWh throughout.
The highest average daily incident shortwave solar energy during June is 8.4 kWh on June 21.
Average Daily Incident Shortwave Solar Energy in June
For the purposes of this report, the geographical coordinates of Buenos Aires are 32.423 deg latitude, -116.941 deg longitude, and 869 ft elevation.
The topography within 2 miles of Buenos Aires contains very significant variations in elevation, with a maximum elevation change of 1,017 feet and an average elevation above sea level of 790 feet. Within 10 miles contains very significant variations in elevation (2,871 feet). Within 50 miles contains large variations in elevation (6,483 feet).
The area within 2 miles of Buenos Aires is covered by grassland (72%), shrubs (14%), and artificial surfaces (11%), within 10 miles by shrubs (35%) and artificial surfaces (33%), and within 50 miles by water (44%) and shrubs (39%).
This report illustrates the typical weather in Buenos Aires year round, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016.
Temperature and Dew Point
There are 2 weather stations near enough to contribute to our estimation of the temperature and dew point in Buenos Aires.
For each station, the records are corrected for the elevation difference between that station and Buenos Aires according to the International Standard Atmosphere , and by the relative change present in the MERRA-2 satellite-era reanalysis between the two locations.
The estimated value at Buenos Aires is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Buenos Aires and a given station.
The stations contributing to this reconstruction are: General Abelardo L. Rodríguez International Airport (89%, 13 kilometers, north) and Campo (11%, 50 kilometers, northeast).
All data relating to the Sun's position (e.g., sunrise and sunset) are computed using astronomical formulas from the book, Astronomical Tables of the Sun, Moon and Planets , by Jean Meeus.
All other weather data, including cloud cover, precipitation, wind speed and direction, and solar flux, come from NASA's MERRA-2 Modern-Era Retrospective Analysis . This reanalysis combines a variety of wide-area measurements in a state-of-the-art global meteorological model to reconstruct the hourly history of weather throughout the world on a 50-kilometer grid.
Land Use data comes from the Global Land Cover SHARE database , published by the Food and Agriculture Organization of the United Nations.
Elevation data comes from the Shuttle Radar Topography Mission (SRTM) , published by NASA's Jet Propulsion Laboratory.
Names, locations, and time zones of places and some airports come from the GeoNames Geographical Database .
Time zones for aiports and weather stations are provided by AskGeo.com .
Maps are © Esri, with data from National Geographic, Esri, DeLorme, NAVTEQ, UNEP-WCMC, USGS, NASA, ESA, METI, NRCAN, GEBCO, NOAA, and iPC.
The information on this site is provided as is, without any assurances as to its accuracy or suitability for any purpose. Weather data is prone to errors, outages, and other defects. We assume no responsibility for any decisions made on the basis of the content presented on this site.
We draw particular cautious attention to our reliance on the MERRA-2 model-based reconstructions for a number of important data series. While having the tremendous advantages of temporal and spatial completeness, these reconstructions: (1) are based on computer models that may have model-based errors, (2) are coarsely sampled on a 50 km grid and are therefore unable to reconstruct the local variations of many microclimates, and (3) have particular difficulty with the weather in some coastal areas, especially small islands.
We further caution that our travel scores are only as good as the data that underpin them, that weather conditions at any given location and time are unpredictable and variable, and that the definition of the scores reflects a particular set of preferences that may not agree with those of any particular reader.